A Worked Example of Fokker-Planck based Active Inference

Magnus Koudahl, A. (Bert) de Vries

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

2 Citaten (Scopus)

Samenvatting

The Free Energy Principle (FEP) and its corollary active inference describe a complex theoretical framework with a substantial statistical mechanics foundation that is often expressed in terms of the Fokker-Planck equation. Easy-to-follow examples of this formalism are scarce, leaving a high barrier of entry to the field. In this paper we provide a worked example of an active inference agent as a hierarchical Gaussian generative model. We proceed to write its equations of motion explicitly as a Fokker-Planck equation, providing a clear mapping between theoretical accounts of FEP and practical implementation. Code is available at github.com/biaslab/ai_workshop_2020.

Originele taal-2Engels
TitelActive Inference
SubtitelFirst International Workshop, IWAI 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14, 2020, Proceedings
RedacteurenTim Verbelen, Pablo Lanillos, Christopher L. Buckley, Cedric De Boom
Plaats van productieCham
UitgeverijSpringer
Hoofdstuk4
Pagina's28-34
Aantal pagina's7
ISBN van geprinte versie978-3-030-64918-0, 978-3-030-64919-7
DOI's
StatusGepubliceerd - 18 dec. 2020
Evenement1st International Workshop on Active Inference (IWAI 2020) - Virtual, Ghent, België
Duur: 14 sep. 202014 sep. 2020
Congresnummer: 1
https://iwaiworkshop.github.io/

Publicatie series

NaamCommunications in Computer and Information Science (CCIS)
Volume1326
ISSN van geprinte versie1865-0929
ISSN van elektronische versie1865-0937

Workshop

Workshop1st International Workshop on Active Inference (IWAI 2020)
Verkorte titelIWAI 2020
Land/RegioBelgië
StadGhent
Periode14/09/2014/09/20
Internet adres

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